Engineering Manager, Etsy
Machine Learning for Growth
$226-294k
More information about location
eCommerce platform for handcrafted goods
Be an early applicant
eCommerce platform for handcrafted goods
1001+ employees
Be an early applicant
$226-294k
More information about location
1001+ employees
Company mission
To keep human connection at the heart of commerce.
Role
Who you are
- Strong hands-on experience in Machine Learning, including high-volume data processing, model deployment, and best practices
- Proven ability to lead teams with applied scientists and machine learning engineers
- Experience working within a product engineering context to build end-to-end systems with non-ML teams
- Excellent written and oral communication skills for effective collaboration with cross-functional teams (Design, Product, Analytics)
- Experience in shaping team processes for efficient delivery and contributing to technical strategy and an ability to promote high-quality technical decision-making and empower engineers
- Experience coaching and mentoring engineers through significant career achievements
- A strong understanding of how to apply team processes efficiently to maximize productivity
- Comfort and proficiency in an environment that emphasizes experimentation and data-driven decisions
What the job involves
- Etsy is seeking an Engineering Manager to establish and lead a new machine learning team that is improving the buying experience on our marketplace
- You'll help deliver robust, scalable production models that will be A/B tested live on Etsy.com
- Staying at the forefront of the ML field, you’ll bring its best ideas to life for millions of Etsy shoppers
- Your team will test new ideas, and pioneer solutions from the ground up, being responsible for the end-to-end ML lifecycle
- Leverage Large Language Models (LLMs) to generate concise, insightful summaries of product reviews, allowing shoppers to quickly grasp key information and make confident purchase decisions
- Develop machine learning models to personalize the buyer's browsing experience, highlighting products and information most relevant to their individual shopping mission and preferences
- Apply machine learning to identify optimal moments and methods for engaging buyers, tailoring their journey to inspire confidence and increase the likelihood of a successful purchase
- Implement machine learning systems to analyze buyer behavior and feedback, enabling continuous improvement of the Etsy platform and ensuring a delightful shopping experience for millions
- Leverage existing ML infrastructure and partnerships with platform teams to build scalable and modular ML systems across our mobile app and web platforms
- Help to build a new ML team within the context of product engineering, establishing effective process that increases collaboration across disciplines
- Lead a fast paced, data-driven, and agile team of 4-7 machine learning scientists and engineers to build systems that measurably improve the buying experience in close partnership with product teams
- Take part in the end-to-end recruiting process, hiring and on-boarding exceptional engineering talent
- Serve as a coach, mentor, and advocate for the engineers on your team
- Work with other leaders within engineering to develop and evolve engineering processes and standard methodologies
- Establish strong cross-functional relationships with product engineers, product managers, user researchers, designers, analysts as well as platform, data, and infrastructure teams
- Leverage established tools built by our ML platform teams and help create new paved paths within product engineering context
- Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law
Our take
Created as an alternative to more corporate eCommerce sites, Etsy is a peer-to-peer (P2P) website where users buy and sell handmade crafts, vintage items, art, and photography. The online marketplace works similarly to Amazon and eBay, only with an emphasis on unique items rather than mass-produced merchandise.
Since its IPO in 2015, it has managed to hold its own in an increasingly competitive eCommerce industry, including from Amazon's handmade section that launched in 2015. Further, by providing sellers with ownership over pricing and branding, the site is attractive for those wanting to set up a business on an established platform.
However, the seller-side of Etsy is not without problems. The recent hike in transaction fees and the introduction of mandatory marketing fees for artists with high turnovers has created significant discontent amongst sellers. Etsy must reconcile these issues to ensure artists continue to operate on the same scale within the platform. It plans to attract shoppers with its message of extraordinary, handmade and affordable products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
May 2012
$40m
LATE VC
Aug 2010
$20m
SERIES E
Total funding: $91.7m
Company benefits
- Equity (offers vary by country)
- Performance bonuses
- Paid gender neutral parental leave
- Adoption and family planning
- Back-up care
- Volunteer time off
- Donation matching
- Employee resource groups
- Global virtual events
- Employer paid health benefits
- Fitness benefits
- Wellness programming
- Mental health benefits
- 401K matching/Pension contributions
Company HQ
Downtown Brooklyn, NY
Leadership
Josh Silverman
(CEO)Previously senior executive at eBay, CEO of Shopping.com, CEO of Skype and President of Consumer Products & Services at American Express.
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